#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
日志清理和痕迹擦除场景测试模块
Log Cleanup and Trace Removal Scenario Testing Module

该模块实现：
1. 系统日志清理场景
2. 应用程序日志清理场景
3. 网络痕迹清理场景
4. 文件系统痕迹清理场景
5. 注册表痕迹清理场景
6. 内存痕迹清理场景
"""

import os
import sys
import time
import random
import subprocess
from typing import Dict, List, Optional, Any, Tuple
from dataclasses import dataclass
from datetime import datetime, timedelta
from enum import Enum

# 添加项目根目录到Python路径
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))

class LogType(Enum):
    """日志类型"""
    SYSTEM = "system"
    SECURITY = "security"
    APPLICATION = "application"
    NETWORK = "network"
    FILESYSTEM = "filesystem"
    REGISTRY = "registry"
    MEMORY = "memory"

@dataclass
class CleanupTest:
    """清理测试结果"""
    test_id: str
    test_name: str
    cleanup_method: str
    target_logs: List[str]
    cleanup_rate: float  # 清理成功率
    stealth_rating: float
    completeness: float  # 清理完整性
    recovery_difficulty: float  # 恢复难度
    execution_time: float
    artifacts_removed: List[str]
    artifacts_remaining: List[str]
    cleanup_techniques: List[str]
    recommendations: List[str]

class LogCleanupScenarios:
    """日志清理场景测试器"""
    
    def __init__(self, target_host: str = "101.37.80.173"):
        self.target_host = target_host
        self.test_results: List[CleanupTest] = []
        self.log_locations = self._discover_log_locations()
        
    def _discover_log_locations(self) -> Dict[str, List[str]]:
        """发现系统日志位置"""
        print("🔍 发现系统日志位置...")
        
        # 模拟日志位置发现
        log_locations = {
            "system": [
                "/var/log/syslog",
                "/var/log/messages",
                "/var/log/kern.log",
                "/var/log/dmesg"
            ],
            "security": [
                "/var/log/auth.log",
                "/var/log/secure",
                "/var/log/audit/audit.log",
                "/var/log/faillog"
            ],
            "application": [
                "/var/log/apache2/access.log",
                "/var/log/nginx/access.log",
                "/var/log/mysql/error.log",
                "/var/log/postgresql/postgresql.log"
            ],
            "network": [
                "/var/log/ufw.log",
                "/var/log/iptables.log",
                "/var/log/tcpdump.log",
                "/var/log/snort/alert"
            ]
        }
        
        for log_type, locations in log_locations.items():
            print(f"  📁 {log_type}: 发现 {len(locations)} 个日志文件")
        
        return log_locations
    
    def test_system_log_cleanup(self) -> CleanupTest:
        """测试系统日志清理"""
        print("🗂️ 测试系统日志清理场景...")
        
        # 模拟系统日志清理技术
        cleanup_techniques = [
            {"name": "日志文件截断", "stealth": 0.3, "completeness": 0.9, "recovery": 0.1},
            {"name": "选择性删除", "stealth": 0.8, "completeness": 0.7, "recovery": 0.3},
            {"name": "时间戳修改", "stealth": 0.9, "completeness": 0.6, "recovery": 0.8},
            {"name": "日志轮转伪造", "stealth": 0.85, "completeness": 0.8, "recovery": 0.4},
            {"name": "内容替换", "stealth": 0.95, "completeness": 0.9, "recovery": 0.2}
        ]
        
        target_logs = self.log_locations["system"]
        cleanup_results = []
        
        # 模拟清理过程
        for log_file in target_logs:
            technique = random.choice(cleanup_techniques)
            result = {
                "log_file": log_file,
                "technique": technique["name"],
                "success": random.random() < 0.85,
                "stealth": technique["stealth"],
                "completeness": technique["completeness"],
                "recovery_difficulty": technique["recovery"],
                "entries_removed": random.randint(100, 1000)
            }
            cleanup_results.append(result)
            status = "成功" if result["success"] else "失败"
            print(f"  {'✅' if result['success'] else '❌'} 清理 {os.path.basename(log_file)}: {status}")
        
        successful_cleanups = [r for r in cleanup_results if r["success"]]
        cleanup_rate = len(successful_cleanups) / len(cleanup_results)
        avg_stealth = sum(r["stealth"] for r in cleanup_results) / len(cleanup_results)
        avg_completeness = sum(r["completeness"] for r in cleanup_results) / len(cleanup_results)
        avg_recovery_difficulty = sum(r["recovery_difficulty"] for r in cleanup_results) / len(cleanup_results)
        
        test_result = CleanupTest(
            test_id="cleanup_system_001",
            test_name="系统日志清理测试",
            cleanup_method="system_log_cleanup",
            target_logs=target_logs,
            cleanup_rate=cleanup_rate,
            stealth_rating=avg_stealth,
            completeness=avg_completeness,
            recovery_difficulty=avg_recovery_difficulty,
            execution_time=random.uniform(2.0, 8.0),
            artifacts_removed=[f"{sum(r['entries_removed'] for r in successful_cleanups)} 条日志条目"],
            artifacts_remaining=["备份日志文件", "系统缓存"],
            cleanup_techniques=[tech["name"] for tech in cleanup_techniques],
            recommendations=[
                "使用内容替换技术获得最佳隐蔽性",
                "避免完全删除日志文件",
                "保持日志文件大小相对稳定"
            ]
        )
        
        self.test_results.append(test_result)
        return test_result
    
    def test_security_log_cleanup(self) -> CleanupTest:
        """测试安全日志清理"""
        print("🔒 测试安全日志清理场景...")
        
        # 模拟安全日志清理
        security_events = [
            {"type": "登录事件", "count": random.randint(50, 200), "priority": "high"},
            {"type": "权限提升", "count": random.randint(10, 50), "priority": "critical"},
            {"type": "文件访问", "count": random.randint(100, 500), "priority": "medium"},
            {"type": "网络连接", "count": random.randint(200, 800), "priority": "medium"},
            {"type": "进程创建", "count": random.randint(300, 1000), "priority": "low"}
        ]
        
        target_logs = self.log_locations["security"]
        cleanup_results = []
        
        # 模拟清理过程
        for event in security_events:
            result = {
                "event_type": event["type"],
                "original_count": event["count"],
                "removed_count": int(event["count"] * random.uniform(0.7, 0.95)),
                "priority": event["priority"],
                "success": True,
                "stealth": self._calculate_stealth_by_priority(event["priority"])
            }
            result["remaining_count"] = result["original_count"] - result["removed_count"]
            cleanup_results.append(result)
            print(f"  ✅ 清理 {event['type']}: {result['removed_count']}/{result['original_count']} 条")
        
        total_removed = sum(r["removed_count"] for r in cleanup_results)
        total_original = sum(r["original_count"] for r in cleanup_results)
        cleanup_rate = total_removed / total_original
        avg_stealth = sum(r["stealth"] for r in cleanup_results) / len(cleanup_results)
        
        test_result = CleanupTest(
            test_id="cleanup_security_001",
            test_name="安全日志清理测试",
            cleanup_method="security_log_cleanup",
            target_logs=target_logs,
            cleanup_rate=cleanup_rate,
            stealth_rating=avg_stealth,
            completeness=0.85,
            recovery_difficulty=0.6,
            execution_time=random.uniform(3.0, 10.0),
            artifacts_removed=[
                f"清理了 {total_removed} 条安全事件",
                "移除登录失败记录",
                "清理权限提升痕迹"
            ],
            artifacts_remaining=[
                f"保留 {total_original - total_removed} 条正常事件",
                "系统启动日志",
                "服务状态日志"
            ],
            cleanup_techniques=[
                "选择性事件删除",
                "时间窗口清理",
                "事件类型过滤",
                "优先级清理"
            ],
            recommendations=[
                "优先清理高优先级安全事件",
                "保留部分正常事件维持真实性",
                "注意清理登录和权限提升记录"
            ]
        )
        
        self.test_results.append(test_result)
        return test_result
    
    def test_application_log_cleanup(self) -> CleanupTest:
        """测试应用程序日志清理"""
        print("📱 测试应用程序日志清理场景...")
        
        # 模拟应用程序日志
        applications = [
            {"name": "Apache", "log_size": random.randint(10, 100), "entries": random.randint(1000, 5000)},
            {"name": "Nginx", "log_size": random.randint(5, 50), "entries": random.randint(500, 3000)},
            {"name": "MySQL", "log_size": random.randint(20, 200), "entries": random.randint(2000, 10000)},
            {"name": "SSH", "log_size": random.randint(1, 10), "entries": random.randint(100, 1000)}
        ]
        
        target_logs = self.log_locations["application"]
        cleanup_results = []
        
        # 模拟清理过程
        for app in applications:
            cleanup_percentage = random.uniform(0.6, 0.9)
            result = {
                "application": app["name"],
                "original_size": app["log_size"],
                "original_entries": app["entries"],
                "cleaned_entries": int(app["entries"] * cleanup_percentage),
                "final_size": int(app["log_size"] * (1 - cleanup_percentage * 0.8)),
                "success": True,
                "method": self._select_cleanup_method(app["name"])
            }
            cleanup_results.append(result)
            print(f"  ✅ 清理 {app['name']}: {result['cleaned_entries']} 条目 ({app['log_size']}MB → {result['final_size']}MB)")
        
        total_cleaned = sum(r["cleaned_entries"] for r in cleanup_results)
        total_original = sum(r["original_entries"] for r in cleanup_results)
        cleanup_rate = total_cleaned / total_original
        
        test_result = CleanupTest(
            test_id="cleanup_app_001",
            test_name="应用程序日志清理测试",
            cleanup_method="application_log_cleanup",
            target_logs=target_logs,
            cleanup_rate=cleanup_rate,
            stealth_rating=0.75,
            completeness=0.80,
            recovery_difficulty=0.5,
            execution_time=random.uniform(1.0, 5.0),
            artifacts_removed=[
                f"清理了 {total_cleaned} 条应用日志",
                "移除访问记录",
                "清理错误日志"
            ],
            artifacts_remaining=[
                "应用配置文件",
                "数据库连接日志",
                "性能监控数据"
            ],
            cleanup_techniques=[
                "日志轮转加速",
                "访问记录过滤",
                "错误日志清理",
                "连接日志修改"
            ],
            recommendations=[
                "重点清理Web服务器访问日志",
                "保留必要的错误日志维持正常运行",
                "使用日志轮转掩盖清理行为"
            ]
        )
        
        self.test_results.append(test_result)
        return test_result
    
    def test_network_trace_cleanup(self) -> CleanupTest:
        """测试网络痕迹清理"""
        print("🌐 测试网络痕迹清理场景...")
        
        # 模拟网络痕迹
        network_traces = [
            {"type": "连接记录", "count": random.randint(100, 500), "location": "netstat"},
            {"type": "ARP缓存", "count": random.randint(10, 50), "location": "arp_table"},
            {"type": "DNS缓存", "count": random.randint(50, 200), "location": "dns_cache"},
            {"type": "路由表", "count": random.randint(5, 20), "location": "route_table"},
            {"type": "防火墙日志", "count": random.randint(200, 1000), "location": "firewall_log"}
        ]
        
        target_logs = self.log_locations["network"]
        cleanup_results = []
        
        # 模拟清理过程
        for trace in network_traces:
            cleanup_success = random.random() < 0.8
            if cleanup_success:
                cleaned_count = int(trace["count"] * random.uniform(0.8, 0.95))
            else:
                cleaned_count = 0
            
            result = {
                "trace_type": trace["type"],
                "location": trace["location"],
                "original_count": trace["count"],
                "cleaned_count": cleaned_count,
                "success": cleanup_success,
                "stealth": random.uniform(0.6, 0.9)
            }
            cleanup_results.append(result)
            status = "成功" if cleanup_success else "失败"
            print(f"  {'✅' if cleanup_success else '❌'} 清理 {trace['type']}: {status}")
        
        successful_cleanups = [r for r in cleanup_results if r["success"]]
        cleanup_rate = len(successful_cleanups) / len(cleanup_results)
        total_cleaned = sum(r["cleaned_count"] for r in cleanup_results)
        avg_stealth = sum(r["stealth"] for r in cleanup_results) / len(cleanup_results)
        
        test_result = CleanupTest(
            test_id="cleanup_network_001",
            test_name="网络痕迹清理测试",
            cleanup_method="network_trace_cleanup",
            target_logs=target_logs,
            cleanup_rate=cleanup_rate,
            stealth_rating=avg_stealth,
            completeness=0.75,
            recovery_difficulty=0.7,
            execution_time=random.uniform(1.0, 4.0),
            artifacts_removed=[
                f"清理了 {total_cleaned} 条网络记录",
                "清空ARP缓存",
                "清理DNS缓存",
                "移除连接记录"
            ],
            artifacts_remaining=[
                "路由表核心条目",
                "网络接口配置",
                "长期连接记录"
            ],
            cleanup_techniques=[
                "缓存清理",
                "连接表重置",
                "日志文件清空",
                "内存数据清理"
            ],
            recommendations=[
                "优先清理临时网络缓存",
                "保留必要的网络配置",
                "使用系统命令清理缓存"
            ]
        )
        
        self.test_results.append(test_result)
        return test_result
    
    def test_filesystem_trace_cleanup(self) -> CleanupTest:
        """测试文件系统痕迹清理"""
        print("📁 测试文件系统痕迹清理场景...")
        
        # 模拟文件系统痕迹
        fs_traces = [
            {"type": "访问时间", "count": random.randint(100, 500), "difficulty": "easy"},
            {"type": "修改时间", "count": random.randint(50, 200), "difficulty": "easy"},
            {"type": "创建时间", "count": random.randint(30, 150), "difficulty": "medium"},
            {"type": "文件索引", "count": random.randint(200, 800), "difficulty": "hard"},
            {"type": "删除记录", "count": random.randint(20, 100), "difficulty": "medium"}
        ]
        
        cleanup_results = []
        
        # 模拟清理过程
        for trace in fs_traces:
            difficulty_factor = {"easy": 0.9, "medium": 0.7, "hard": 0.5}[trace["difficulty"]]
            cleanup_success = random.random() < difficulty_factor
            
            if cleanup_success:
                cleaned_count = int(trace["count"] * random.uniform(0.7, 0.95))
            else:
                cleaned_count = int(trace["count"] * random.uniform(0.1, 0.3))
            
            result = {
                "trace_type": trace["type"],
                "difficulty": trace["difficulty"],
                "original_count": trace["count"],
                "cleaned_count": cleaned_count,
                "success": cleanup_success,
                "stealth": random.uniform(0.8, 0.95)
            }
            cleanup_results.append(result)
            status = "成功" if cleanup_success else "部分成功"
            print(f"  {'✅' if cleanup_success else '⚠️'} 清理 {trace['type']}: {status}")
        
        total_cleaned = sum(r["cleaned_count"] for r in cleanup_results)
        total_original = sum(r["original_count"] for r in cleanup_results)
        cleanup_rate = total_cleaned / total_original
        avg_stealth = sum(r["stealth"] for r in cleanup_results) / len(cleanup_results)
        
        test_result = CleanupTest(
            test_id="cleanup_fs_001",
            test_name="文件系统痕迹清理测试",
            cleanup_method="filesystem_trace_cleanup",
            target_logs=["文件系统元数据", "访问记录", "索引数据"],
            cleanup_rate=cleanup_rate,
            stealth_rating=avg_stealth,
            completeness=0.70,
            recovery_difficulty=0.8,
            execution_time=random.uniform(2.0, 6.0),
            artifacts_removed=[
                f"修改了 {total_cleaned} 个时间戳",
                "清理文件访问记录",
                "移除临时文件"
            ],
            artifacts_remaining=[
                "系统文件索引",
                "备份元数据",
                "日志文件记录"
            ],
            cleanup_techniques=[
                "时间戳修改",
                "元数据清理",
                "索引重建",
                "访问记录删除"
            ],
            recommendations=[
                "时间戳修改相对容易且有效",
                "文件索引清理难度较高",
                "使用系统工具修改元数据"
            ]
        )
        
        self.test_results.append(test_result)
        return test_result
    
    def test_memory_trace_cleanup(self) -> CleanupTest:
        """测试内存痕迹清理"""
        print("🧠 测试内存痕迹清理场景...")
        
        # 模拟内存痕迹
        memory_traces = [
            {"type": "进程内存", "size": random.randint(10, 100), "volatility": "high"},
            {"type": "内核缓存", "size": random.randint(50, 500), "volatility": "medium"},
            {"type": "交换文件", "size": random.randint(100, 1000), "volatility": "low"},
            {"type": "内存映射", "size": random.randint(20, 200), "volatility": "medium"},
            {"type": "缓冲区", "size": random.randint(5, 50), "volatility": "high"}
        ]
        
        cleanup_results = []
        
        # 模拟清理过程
        for trace in memory_traces:
            volatility_factor = {"high": 0.9, "medium": 0.7, "low": 0.5}[trace["volatility"]]
            cleanup_success = random.random() < volatility_factor
            
            if cleanup_success:
                cleaned_size = int(trace["size"] * random.uniform(0.8, 0.98))
            else:
                cleaned_size = int(trace["size"] * random.uniform(0.2, 0.5))
            
            result = {
                "trace_type": trace["type"],
                "volatility": trace["volatility"],
                "original_size": trace["size"],
                "cleaned_size": cleaned_size,
                "success": cleanup_success,
                "stealth": random.uniform(0.9, 0.98)
            }
            cleanup_results.append(result)
            status = "成功" if cleanup_success else "部分成功"
            print(f"  {'✅' if cleanup_success else '⚠️'} 清理 {trace['type']}: {status}")
        
        total_cleaned = sum(r["cleaned_size"] for r in cleanup_results)
        total_original = sum(r["original_size"] for r in cleanup_results)
        cleanup_rate = total_cleaned / total_original
        avg_stealth = sum(r["stealth"] for r in cleanup_results) / len(cleanup_results)
        
        test_result = CleanupTest(
            test_id="cleanup_memory_001",
            test_name="内存痕迹清理测试",
            cleanup_method="memory_trace_cleanup",
            target_logs=["进程内存", "系统缓存", "交换空间"],
            cleanup_rate=cleanup_rate,
            stealth_rating=avg_stealth,
            completeness=0.85,
            recovery_difficulty=0.95,
            execution_time=random.uniform(0.5, 2.0),
            artifacts_removed=[
                f"清理了 {total_cleaned}MB 内存数据",
                "清空进程缓冲区",
                "重置内存映射"
            ],
            artifacts_remaining=[
                "系统核心内存",
                "持久化交换数据",
                "硬件缓存"
            ],
            cleanup_techniques=[
                "内存覆写",
                "缓存刷新",
                "进程重启",
                "交换文件清理"
            ],
            recommendations=[
                "内存清理效果最佳但持续时间短",
                "重点清理进程内存和缓冲区",
                "交换文件需要特殊处理"
            ]
        )
        
        self.test_results.append(test_result)
        return test_result
    
    def _calculate_stealth_by_priority(self, priority: str) -> float:
        """根据优先级计算隐蔽性"""
        stealth_map = {
            "critical": 0.95,
            "high": 0.85,
            "medium": 0.75,
            "low": 0.65
        }
        return stealth_map.get(priority, 0.7)
    
    def _select_cleanup_method(self, app_name: str) -> str:
        """选择清理方法"""
        methods = {
            "Apache": "访问日志轮转",
            "Nginx": "日志文件截断",
            "MySQL": "查询日志清理",
            "SSH": "连接记录删除"
        }
        return methods.get(app_name, "通用日志清理")
    
    def run_all_tests(self) -> List[CleanupTest]:
        """运行所有日志清理测试"""
        print("🧹 开始日志清理和痕迹擦除场景测试...")
        print("=" * 60)
        
        # 运行各种测试
        self.test_system_log_cleanup()
        self.test_security_log_cleanup()
        self.test_application_log_cleanup()
        self.test_network_trace_cleanup()
        self.test_filesystem_trace_cleanup()
        self.test_memory_trace_cleanup()
        
        # 计算总体统计
        total_tests = len(self.test_results)
        avg_cleanup_rate = sum(test.cleanup_rate for test in self.test_results) / total_tests
        avg_stealth = sum(test.stealth_rating for test in self.test_results) / total_tests
        avg_completeness = sum(test.completeness for test in self.test_results) / total_tests
        avg_recovery_difficulty = sum(test.recovery_difficulty for test in self.test_results) / total_tests
        
        print("\n" + "=" * 60)
        print("📊 日志清理测试总结:")
        print(f"  总测试数: {total_tests}")
        print(f"  平均清理率: {avg_cleanup_rate:.1%}")
        print(f"  平均隐蔽性: {avg_stealth:.1%}")
        print(f"  平均完整性: {avg_completeness:.1%}")
        print(f"  平均恢复难度: {avg_recovery_difficulty:.1%}")
        
        # 推荐最佳方法
        best_method = max(self.test_results, key=lambda x: x.cleanup_rate * x.stealth_rating * x.completeness)
        print(f"  推荐方法: {best_method.test_name}")
        
        return self.test_results
    
    def generate_report(self) -> str:
        """生成日志清理测试报告"""
        report_content = f"""# 日志清理和痕迹擦除场景测试报告

**目标服务器**: {self.target_host}
**测试时间**: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}
**测试数量**: {len(self.test_results)}

## 测试结果摘要

"""
        
        for test in self.test_results:
            report_content += f"""### {test.test_name}
- **测试ID**: {test.test_id}
- **清理方法**: {test.cleanup_method}
- **清理成功率**: {test.cleanup_rate:.1%}
- **隐蔽性**: {test.stealth_rating:.1%}
- **完整性**: {test.completeness:.1%}
- **恢复难度**: {test.recovery_difficulty:.1%}
- **执行时间**: {test.execution_time:.2f}s

**目标日志**:
{chr(10).join(f'- {log}' for log in test.target_logs)}

**清理技术**:
{chr(10).join(f'- {technique}' for technique in test.cleanup_techniques)}

**已移除痕迹**:
{chr(10).join(f'- {artifact}' for artifact in test.artifacts_removed)}

**剩余痕迹**:
{chr(10).join(f'- {artifact}' for artifact in test.artifacts_remaining)}

**建议**:
{chr(10).join(f'- {rec}' for rec in test.recommendations)}

---

"""
        
        return report_content

def main():
    """主函数"""
    print("🧹 日志清理和痕迹擦除场景测试系统")
    print("=" * 40)
    
    # 创建测试器
    tester = LogCleanupScenarios()
    
    # 运行所有测试
    results = tester.run_all_tests()
    
    # 生成报告
    report = tester.generate_report()
    
    # 保存报告
    report_file = f"log_cleanup_report_{datetime.now().strftime('%Y%m%d_%H%M%S')}.md"
    with open(report_file, 'w', encoding='utf-8') as f:
        f.write(report)
    
    print(f"\n📋 报告已保存: {report_file}")

if __name__ == "__main__":
    main()